3.0.1

Full up-to-date release notes are available here.

🎉 Feature 🎉

• Addition of the property day to kx.Column objects to allow users to retrieve the day of month of a timestamp.

  >>> import pykx as kx
  >>> tab = kx.Table(data={
  ...     'a': kx.random.random(100, kx.TimestampAtom.inf),
  ...     'b': kx.random.random([100, 3], 10.0)
  ...     })
  >>> tab.exec(kx.Column('a').day)
  pykx.IntVector(pykx.q('7 10 12..'))

🔧 Fixes & Improvements 🔧

• Added warning to kx.q.system.load and context registration when attempting to load path with a space. Can be suppressed by enabling PYKX_SUPPRESS_WARNINGS.

• Changed %%python heading to %%py when calling Python code during jupyter_qfirst mode so as not to conflict with inbuilt Jupyter cell magics.

• Fixed kx.license.check(format='string') to remove newline characters during comparison.

• Configuration file .pykx-config now supports use of boolean toml configuration

  $ cat ~/.pykx-config
  [default]
  PYKX_QDEBUG = true
  $ python
  >>> import pykx as kx
  >>> kx.config.pykx_qdebug
  True

• Reintroduced unsetting/setting of PYKX_SKIP_UNDERQ in PyKXReimport these had been removed in the 3.0.0 release.

• Added type checking for the cast flag when calling kx.toq() or creating a kx.K variable such as kx.FloatVector() or kx.DatetimeAtom().

• Removed the need to enable PYKX_BETA_FEATURES to use pykx_threading.

• Fixed a memory leak when calling pickle.loads on a PyKX object which previously had been called with pickle.dumps.

• Removal of column type from the return of dtypes method for kx.Table objects, previously this had raised a deprecation warning

  >>> tab = kx.q('([] a:1 2 3j;b:4 5 6i)')
  >>> tab.dtypes
  pykx.Table(pykx.q('
  columns datatypes
  ---------------------
  a       "kx.LongAtom"
  b       "kx.IntAtom" 
  '))